A. Wibawa, F. Miftahuddin, S. Suyono
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引用次数: 0

摘要

停词是自然语言处理过程中可以忽略的词。这个单词删除过程不影响文本分析过程。用来去除停词的技术叫做停词去除。这种技术将单词匹配到一个停止词列表。如果单词在列表中,它将被删除。爪哇语至今仍有有限的停词列表。本研究的目的是利用聚类技术即k - medioids聚类来形成一个停词列表。这种方法根据爪哇语文本中的出现情况对单词进行分组。每个聚类结果通过与爪哇语专家识别的停词匹配来检验。本研究结果表明,K -medoids聚类产生的停词K=13的准确率为70.5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
K-Medoids Clustering untuk Pembentukan Database Stopword Bahasa Jawa
Stopword is a word that can be ignored in the natural language process. This word removal process does not affect the text analysis process. The technique used to remove stopword is called Stopword Removal. This technique matches words to a stopword list. If the word is in the list it will be deleted. Javanese language to date still has a limited list of stopword. This study aims to form a list of stopword using cluster techniques namely K-medoids clustering. This technique groups words by occurrence in Javanese text. Each cluster result is tested by matching it with a stopword of javanese expert identification. The results of this study suggest that the stopword produced by k-medoids clustering with a value of K=13 has an accuracy of 70.5%.
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